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Lead Data Scientist
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- Expert knowledge of statistics and machine learning methods, including regression, classification, time series analysis, clustering, simulation, dimension reduction
- Demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented
- Proficient in Python, R, SQL
- Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure)
- Masters degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study
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